Introduction to FEATURE ENGINEERING & DATA PREPARATIONΒΆ
- Dealing with Outliers
- Dealing with Missing Data
1. Evaluation of Missing data
2. Filling and droping data based on rows
3. Fixing data based on columns - Dealing with Categorical Data - Encoding Options
Feature EngineeringΒΆ
Pros and cons of Intger EncodingΒΆ
One Hot Encoding - (Dummy Variables)ΒΆ
This can be extended to more than two categories.ΒΆ
- We can see that 2 columns are created and for CANADA it will be automatically interpreted where USA and MEX is 0
Pros anc Cons of One Hot EncodingΒΆ